Data Analyst
Summary
On-site Data Analyst in Dumaguete City working through WrkPod for its client Office National: collects and cleans business data, builds automated KPI dashboards, runs statistical analysis, and reports insights to senior leadership. Core tools are SQL, Power BI/Tableau/Google Data Studio, and advanced Excel.
Overview
Office National is seeking a detail-oriented Data Analyst to transform complex datasets into actionable business insights that drive strategic decision-making. As a key member of our operations team, you will bridge the gap between raw data and executive strategy by identifying trends, optimizing workflows, and enhancing overall organizational efficiency. Your work will directly impact our ability to scale services and provide superior value to our partners through data-backed storytelling.
Responsibilities
Manage the end-to-end data collection process from various internal and external business systems.
Design and maintain automated dashboards to track key performance indicators across multiple departments.
Conduct deep-dive statistical analysis to identify operational bottlenecks and growth opportunities.
Prepare comprehensive monthly reports that summarize findings for the senior leadership team.
Clean and validate large datasets to ensure the highest level of data integrity and accuracy.
Collaborate with cross-functional teams to define data requirements for new projects and initiatives.
Perform exploratory data analysis to detect patterns and anomalies in customer behavior.
Recommend process improvements based on quantitative evidence and predictive modeling.
Requirements
Minimum of 3 to 5 years of professional experience in a data analytics or business intelligence role.
Advanced proficiency in SQL for querying, joining, and manipulating large-scale databases.
Strong technical skills in data visualization tools such as Power BI, Tableau, or Google Data Studio.
Expert-level command of Microsoft Excel, including the use of Power Query and complex formulas.
Solid understanding of statistical methodologies and their practical application in a business context.
Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
Excellent English communication skills with the ability to explain technical concepts to non-technical stakeholders.
Proven ability to manage multiple projects simultaneously while meeting strict deadlines.
